Automatic Differentiation
 
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multi_student_t_cholesky_rng.hpp File Reference
#include <stan/math/prim/meta.hpp>
#include <stan/math/prim/err.hpp>
#include <stan/math/prim/fun/as_column_vector_or_scalar.hpp>
#include <stan/math/prim/fun/size_mvt.hpp>
#include <stan/math/prim/fun/to_ref.hpp>
#include <stan/math/prim/fun/vector_seq_view.hpp>
#include <stan/math/prim/prob/inv_gamma_rng.hpp>
#include <boost/random/normal_distribution.hpp>
#include <boost/random/variate_generator.hpp>
#include <cmath>

Go to the source code of this file.

Namespaces

namespace  stan
 The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation from C or the boost::math::lgamma implementation.
 
namespace  stan::math
 Matrices and templated mathematical functions.
 

Functions

template<typename T_loc , class RNG >
StdVectorBuilder< true, Eigen::VectorXd, T_loc >::type stan::math::multi_student_t_cholesky_rng (double nu, const T_loc &mu, const Eigen::MatrixXd &L, RNG &rng)
 Return a multivariate student-t random variate with the given degrees of freedom location and Cholesky factor the scale matrix using the specified random number generator.